Install ESPnet including the compiled Kaldi: Install ESPnet.

Edit the ESPnet path in decode.sh.

Download external models:

cd models
./download.sh

Create the configuration file .env:

DB_HOST=localhost
DB_PORT=5432
DB_USER=test
DB_NAME=test
SESSION_KEY=test
URL_BASE=http://localhost:8080
SMTP_HOST=smtp.example.com
SMTP_PORT=587
SMTP_USER=test
SMTP_PASSWORD=test
DATA_DIR=data
DECODE_CMD=./decode.sh

Build and run the web server:

go build cmd/web/main.go
nohup ./main > main.log &

Build and run the transcriber daemon:

go build -o transcriber cmd/transcriber/main.go
nohup ./transcriber > transcriber.log &

Alternatively, run the decoding from the command line:

./decode.sh $FILE $LANGUAGE

$LANGUAGE can be en, de or ru. The result will be written to $FILENAME.txt.

Citation:

@article{denisov2019ims,
  title={IMS-speech: A speech to text tool},
  author={Denisov, Pavel and Vu, Ngoc Thang},
  journal={Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2019},
  pages={170--177},
  year={2019},
  publisher={TUDpress, Dresden}
}